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Dataset Title:  "LATEX CTD - d94j037.nc - 28.84N, 92.0W - 1994-11-05" Subscribe RSS
Institution:  Texas A&M University, Department of Oceanography   (Dataset ID: latex_d94j037)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files | Make a graph

Select a subset:      (Current number of distinct combinations of matching data: 45)
Make as many selections as you want, in any order. Each selection changes the other options (and the map and data below) accordingly.

    pressure ?  =  dBar   45 options
    depth ?  =  m   45 options
    temperature ?  =  degree_C   42 options
    potentialTemperature ?  =  degree_C   41 options
    conductivity ?  =  Siemens per meter   42 options
    salinity ?  =  PSU   44 options
    sigmat ?  =  kg m-3   43 options
    descentRate ?  =  meters per second   44 options
    transmission ?  =  percent   38 options
    par ?  =  umol m-2 s-1   1 option: 0.7300000190734863
    parv ?  =  volts   1 option: 0.0
    fluorescence ?  =  volts   40 options
    backscattering ?  =  volts   35 options

View:      Map of All Related Data ?      Distinct Data Counts ?     Distinct Data ?      Related Data Counts ?     Related Data ?

 
Map of All Related Data ?   (Refine the map and/or download the image)

To view the map, check View : Map of All Related Data above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.
 


Distinct Data Counts ?

To view the counts of distinct combinations of the variables listed above,
check View : Distinct Data Counts above and select a value for one of the variables above.

 


Distinct Data ?   (Metadata)    (Refine the data subset and/or download the data)  

pressure depth temperature potentialTemperature conductivity salinity sigmat descentRate transmission par parv fluorescence backscattering
dBar m degree_C degree_C Siemens per meter PSU kg m-3 meters per second percent umol m-2 s-1 volts volts volts
2.5 2.5 24.597000122070312 24.596500396728516 4.9664998054504395 32.782501220703125 21.788999557495117 0.23100000619888306 4.353000164031982 0.7300000190734863 0.0 1.3009999990463257 0.03799999877810478
3.0 3.0 24.599000930786133 24.59830093383789 4.967400074005127 32.78710174560547 21.791900634765625 0.5299999713897705 4.354000091552734 0.7300000190734863 0.0 1.2760000228881836 0.03500000014901161
3.5 3.5 24.6033992767334 24.60260009765625 4.969200134277344 32.797698974609375 21.7987003326416 0.35199999809265137 4.3520002365112305 0.7300000190734863 0.0 1.3029999732971191 0.032999999821186066
4.0 4.0 24.607200622558594 24.606300354003906 4.9710001945495605 32.80759811401367 21.805099487304688 0.39800000190734863 4.35699987411499 0.7300000190734863 0.0 1.2799999713897705 0.03200000151991844
4.5 4.5 24.60540008544922 24.604400634765625 4.970200061798096 32.8031005859375 21.802200317382812 0.28700000047683716 4.353000164031982 0.7300000190734863 0.0 1.2799999713897705 0.032999999821186066
5.0 5.0 24.6023006439209 24.601299285888672 4.968800067901611 32.794498443603516 21.796600341796875 0.3409999907016754 4.353000164031982 0.7300000190734863 0.0 1.2970000505447388 0.03400000184774399
5.5 5.5 24.600900650024414 24.599700927734375 4.968299865722656 32.79199981689453 21.79520034790039 0.4410000145435333 4.354000091552734 0.7300000190734863 0.0 1.2890000343322754 0.03400000184774399
6.0 6.0 24.6028995513916 24.601600646972656 4.969399929046631 32.79840087890625 21.79949951171875 0.36899998784065247 4.354000091552734 0.7300000190734863 0.0 1.2970000505447388 0.03799999877810478
6.5 6.5 24.633100509643555 24.63170051574707 4.984099864959717 32.88520050048828 21.85610008239746 0.40799999237060547 4.348999977111816 0.7300000190734863 0.0 1.309999942779541 0.03500000014901161
7.0 7.0 24.739700317382812 24.73819923400879 5.037799835205078 33.20389938354492 22.065000534057617 0.6010000109672546 4.355999946594238 0.7300000190734863 0.0 1.312000036239624 0.03799999877810478
7.599999904632568 7.5 24.784299850463867 24.782699584960938 5.0584001541137695 33.32360076904297 22.142099380493164 0.5920000076293945 4.348999977111816 0.7300000190734863 0.0 1.3240000009536743 0.035999998450279236
8.100000381469727 8.0 24.773099899291992 24.771400451660156 5.053800106048584 33.297698974609375 22.125900268554688 0.3580000102519989 4.348999977111816 0.7300000190734863 0.0 1.343000054359436 0.032999999821186066
8.600000381469727 8.5 24.824899673461914 24.82309913635254 5.080699920654297 33.45750045776367 22.23110008239746 0.3140000104904175 4.310999870300293 0.7300000190734863 0.0 1.3559999465942383 0.03500000014901161
9.100000381469727 9.0 25.040000915527344 25.038000106811523 5.182700157165527 34.05059814453125 22.614200592041016 0.492000013589859 4.284999847412109 0.7300000190734863 0.0 1.3650000095367432 0.05000000074505806
9.600000381469727 9.5 25.14240074157715 25.140399932861328 5.229300022125244 34.31669998168945 22.784099578857422 0.6990000009536743 4.276000022888184 0.7300000190734863 0.0 1.3940000534057617 0.050999999046325684
10.100000381469727 10.0 25.156099319458008 25.153900146484375 5.235000133514404 34.34809875488281 22.803699493408203 0.7279999852180481 4.27400016784668 0.7300000190734863 0.0 1.4190000295639038 0.05999999865889549
10.600000381469727 10.5 25.148399353027344 25.146099090576172 5.230999946594238 34.32440185546875 22.78820037841797 0.4819999933242798 4.275000095367432 0.7300000190734863 0.0 1.4149999618530273 0.05400000140070915
11.100000381469727 11.0 25.131099700927734 25.128700256347656 5.223800182342529 34.284698486328125 22.763500213623047 0.5350000262260437 4.27400016784668 0.7300000190734863 0.0 1.3969999551773071 0.057999998331069946
11.600000381469727 11.5 25.170400619506836 25.167800903320312 5.241199970245361 34.382999420166016 22.8257999420166 0.7200000286102295 4.269999980926514 0.7300000190734863 0.0 1.4129999876022339 0.06199999898672104
12.100000381469727 12.0 25.163700103759766 25.160999298095703 5.2378997802734375 34.362998962402344 22.81279945373535 0.6439999938011169 4.263999938964844 0.7300000190734863 0.0 1.434999942779541 0.05700000002980232
12.600000381469727 12.5 25.175100326538086 25.172300338745117 5.243100166320801 34.392799377441406 22.831899642944336 0.36000001430511475 4.238999843597412 0.7300000190734863 0.0 1.4240000247955322 0.06400000303983688
13.100000381469727 13.0 25.2726993560791 25.269800186157227 5.286099910736084 34.63570022583008 22.985599517822266 0.35199999809265137 4.235000133514404 0.7300000190734863 0.0 1.4249999523162842 0.06400000303983688
13.600000381469727 13.5 25.270599365234375 25.26759910583496 5.284900188446045 34.627601623535156 22.980199813842773 0.3479999899864197 4.22599983215332 0.7300000190734863 0.0 1.3960000276565552 0.07000000029802322
14.100000381469727 14.0 25.295799255371094 25.292699813842773 5.2947998046875 34.68130111694336 23.01300048828125 0.3840000033378601 4.111000061035156 0.7300000190734863 0.0 1.430999994277954 0.07400000095367432
14.600000381469727 14.5 25.314899444580078 25.31170082092285 5.300899982452393 34.71160125732422 23.030099868774414 0.6050000190734863 4.125 0.7300000190734863 0.0 1.4450000524520874 0.08500000089406967
15.100000381469727 15.0 25.314699172973633 25.311399459838867 5.30079984664917 34.71070098876953 23.029499053955078 0.6880000233650208 4.1479997634887695 0.7300000190734863 0.0 1.4550000429153442 0.0860000029206276
15.600000381469727 15.5 25.314899444580078 25.311500549316406 5.30079984664917 34.71099853515625 23.029800415039062 0.5590000152587891 4.074999809265137 0.7300000190734863 0.0 1.4550000429153442 0.09399999678134918
16.100000381469727 16.0 25.30970001220703 25.30620002746582 5.299799919128418 34.707000732421875 23.02829933166504 0.3540000021457672 4.080999851226807 0.7300000190734863 0.0 1.4620000123977661 0.09099999815225601
16.600000381469727 16.5 25.315099716186523 25.311500549316406 5.301000118255615 34.711299896240234 23.02989959716797 0.5400000214576721 4.085000038146973 0.7300000190734863 0.0 1.4509999752044678 0.09300000220537186
17.100000381469727 17.0 25.31760025024414 25.313899993896484 5.301599979400635 34.71369934082031 23.0310001373291 0.6269999742507935 4.073999881744385 0.7300000190734863 0.0 1.4539999961853027 0.10100000351667404
17.600000381469727 17.5 25.316499710083008 25.312700271606445 5.301300048828125 34.71229934692383 23.030399322509766 0.5690000057220459 4.086999893188477 0.7300000190734863 0.0 1.468999981880188 0.10300000011920929
18.100000381469727 18.0 25.315099716186523 25.311199188232422 5.301199913024902 34.71289825439453 23.031200408935547 0.41200000047683716 4.0920000076293945 0.7300000190734863 0.0 1.4780000448226929 0.11100000143051147
18.600000381469727 18.5 25.315799713134766 25.31170082092285 5.301400184631348 34.71369934082031 23.031700134277344 0.20900000631809235 4.065999984741211 0.7300000190734863 0.0 1.472000002861023 0.10999999940395355
19.100000381469727 19.0 25.317100524902344 25.31290054321289 5.301700115203857 34.714298248291016 23.03179931640625 0.36500000953674316 4.072999954223633 0.7300000190734863 0.0 1.4529999494552612 0.10000000149011612
19.600000381469727 19.5 25.318300247192383 25.31399917602539 5.301700115203857 34.71379852294922 23.031099319458008 0.597000002861023 4.057000160217285 0.7300000190734863 0.0 1.4450000524520874 0.10300000011920929
20.100000381469727 20.0 25.318899154663086 25.31450080871582 5.301799774169922 34.713600158691406 23.030799865722656 0.7269999980926514 4.059000015258789 0.7300000190734863 0.0 1.4509999752044678 0.11100000143051147
20.600000381469727 20.5 25.320100784301758 25.31559944152832 5.302199840545654 34.7151985168457 23.031600952148438 0.6919999718666077 4.072000026702881 0.7300000190734863 0.0 1.4589999914169312 0.10899999737739563
21.100000381469727 21.0 25.32040023803711 25.315799713134766 5.3024001121521 34.71609878540039 23.03230094909668 0.43299999833106995 4.013000011444092 0.7300000190734863 0.0 1.4800000190734863 0.11400000005960464
21.600000381469727 21.5 25.32469940185547 25.319900512695312 5.303500175476074 34.721500396728516 23.03510093688965 0.37299999594688416 3.996000051498413 0.7300000190734863 0.0 1.4919999837875366 0.12099999934434891
22.100000381469727 22.0 25.320499420166016 25.31559944152832 5.302299976348877 34.7150993347168 23.031600952148438 0.4970000088214874 3.9670000076293945 0.7300000190734863 0.0 1.4989999532699585 0.11500000208616257
22.700000762939453 22.5 25.32509994506836 25.320199966430664 5.303599834442139 34.721099853515625 23.034700393676758 0.3199999928474426 3.9579999446868896 0.7300000190734863 0.0 1.4819999933242798 0.125
23.200000762939453 23.0 25.328899383544922 25.32379913330078 5.304699897766113 34.72610092163086 23.03730010986328 0.3790000081062317 3.9509999752044678 0.7300000190734863 0.0 1.4830000400543213 0.13099999725818634
23.700000762939453 23.5 25.331100463867188 25.326000213623047 5.305200099945068 34.72840118408203 23.038400650024414 0.41499999165534973 3.8459999561309814 0.7300000190734863 0.0 1.4910000562667847 0.15000000596046448
24.200000762939453 24.0 25.331100463867188 25.325899124145508 5.305200099945068 34.72829818725586 23.038400650024414 0.3610000014305115 3.802999973297119 0.7300000190734863 0.0 1.5099999904632568 0.15600000321865082
24.700000762939453 24.5 25.33139991760254 25.326000213623047 5.305300235748291 34.72819900512695 23.038299560546875 0.3109999895095825 3.808000087738037 0.7300000190734863 0.0 1.5089999437332153 0.17499999701976776

In total, there are 45 rows of distinct combinations of the variables listed above. All of the rows are shown above.
To change the maximum number of rows displayed, change View : Distinct Data above.
 


Related Data Counts ?

To view the related data counts,
check View : Related Data Counts above and select a value for one of the variables above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.
 


Related Data ?   (Metadata)    (Refine the data subset and/or download the data)

To view the related data, change View : Related Data above.

WARNING: This may involve lots of data. For some datasets, this may be slow. Consider using this only when you need it and have selected a small subset of the data.


 
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